Security Scan Report: nfyenkryj6v4oeqwluc.vercel.app

Redirected to:
https://zyii57n-h11n.vercel.app/10004567348379/fbhbgfdw54retbvsaerdfvd...
Submitted: Sep 13, 2026, 12:45:20 AMCompleted: Sep 13, 2026, 12:46:38 AMpubliccompleted

This website contacted 2 IPs in 1 country across 3 domains to perform 3 HTTP transactions. The main domain is zyii57n-h11n.vercel.app and was registered 14 years ago.

Submitted URL: https://nfyenkryj6v4oeqwluc.vercel.app/bdsfbw35erbasefdbsdfbn354b

Effective URL:

https://zyii57n-h11n.vercel.app/10004567348379/fbhbgfdw54retbvsaerdfvd...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake Facebook login page hosted on random vercel.app subdomains: impersonates Facebook with a hidden password field and multiple credential fields, evades scanners with a block page. Do not enter credentials.

Risk Factors (5)
Brand impersonation of Facebook on an unrelated, unranked vercel.app subdomain
Hidden password field plus multiple email/username fields collecting credentials
Randomized subdomain names and file paths typical of phishing-kit delivery
Actor-abused cloud hosting service (vercel.app) used as the phishing host
Bot-protection/block page served to scanners to evade automated detection
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Domain Name Analysis

The domain name 'nfyenkryj6v4oeqwluc.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'nfyenkryj6v4oeqwluc'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. It segments into 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nfyenkryj6v4oeqwluc.vercel.app/bdsfbw35erbasefdbsdfbn354b

Page Load Overview

5.37s
Total Load Time
4 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:45%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:vi
Text Length:4,015 chars
Detector Agreement:75%
Language mismatch: Declared as vi but detected as en

Website Classification

Primary Category

social media network53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
53%
technology software
30%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.67United States
AS16509Amazon.com, Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
32--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A1B1F3E350DB08145DEE7AE589CC370CFF16961A9B611D6263B610186776FA2F83AA08

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TBI+awslWNL/1p6FVRxD9OihlG/k48fs3Op+44:TBxslWLkVn9Lly80Oc44

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5469:AwUJAAgBVLCRUgKQkgwBAAgAgCBSBAuIEkIQACnASwJQAEBsACSQQSAABRCiIgEAAGAFwEIRwAaKFgAQAKhgMSUVtCQIAgAU

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffffffc1c1ffffff
Perceptual Hash:e92496d3692c96d3
Difference Hash:0000001212000000
Wavelet Hash:3c3cfe8080fc3030
Color Hash:#9aac53

Other Hashes

Crop Resistant:0000001212000000

Scan History

Scan history not available

Unable to load historical scan data